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Vp Of Product
Based on 10 assessments
26%
Moderate risk
Average realistic automation risk across all Vp Of Product profiles in the dataset.
Score spread
Distribution across 10 profiles.
Middle half of Vp Of Products score between 23% and 27%.
0%
50%
100%
Task breakdown by work type
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer input, real-world output — needs someone to act on it, not just software.
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Vp Of Product, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
Defining product vision, strategy, and roadmap; setting quarterly/annual goals and priorities
deep expertise
social core
24%
AD
6%
Gathering and synthesizing user feedback from customers, support tickets, and research; identifying patterns and gaps
18%
AD
25%
Presenting product updates, demos, and business impact to executives and stakeholders; negotiating resources
deep expertise
social core
14%
AA
2%
Running standups, sprint planning, and review meetings with engineering, design, and cross-functional teams
deep expertise
social core
14%
AA
5%
One-on-ones with direct reports (product managers, designers); mentoring and career development
deep expertise
social core
14%
AA
4%
Reviewing analytics dashboards, usage data, and A/B test results to inform decisions and course-correct
8%
DD
62%
Writing PRDs (product requirements documents), user stories, and specifications for features and projects
4%
DD
46%
Competitor analysis, market research, and industry trend monitoring
0%
DD
88%
Defining product vision, strategy, and roadmap; setting quarterly/annual goals and priorities
deep expertise
social core
23%
AD
18%
Reviewing analytics dashboards, usage data, and A/B test results to inform decisions and course-correct
17%
DD
69%
Running standups, sprint planning, and review meetings with engineering, design, and cross-functional teams
deep expertise
social core
16%
AA
4%
Gathering and synthesizing user feedback from customers, support tickets, and research; identifying patterns and gaps
14%
AD
27%
Presenting product updates, demos, and business impact to executives and stakeholders; negotiating resources
deep expertise
social core
12%
AA
3%
One-on-ones with direct reports (product managers, designers); mentoring and career development
some context needed
social core
10%
AA
0%
Writing PRDs (product requirements documents), user stories, and specifications for features and projects
4%
DD
55%
Competitor analysis, market research, and industry trend monitoring
1%
DD
89%
Reviewing analytics dashboards, usage data, and A/B test results to inform decisions and course-correct
25%
DD
68%
Gathering and synthesizing user feedback from customers, support tickets, and research; identifying patterns and gaps
24%
AD
28%
Running standups, sprint planning, and review meetings with engineering, design, and cross-functional teams
deep expertise
social element
13%
AA
12%
Writing PRDs (product requirements documents), user stories, and specifications for features and projects
13%
DD
52%
Defining product vision, strategy, and roadmap; setting quarterly/annual goals and priorities
deep expertise
social core
10%
AD
12%
Presenting product updates, demos, and business impact to executives and stakeholders; negotiating resources
deep expertise
social element
7%
AA
4%
Competitor analysis, market research, and industry trend monitoring
3%
DD
97%
One-on-ones with direct reports (product managers, designers); mentoring and career development
deep expertise
social core
2%
AA
0%
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